"IoT" based real time monitoring and control of level “II” digital twin of pipeline systems using “Arduino” and “LabVieW”

Abstract

Pipeline transportation is a fundamental phase in the oil and gas chain, responsible for the efficient and continuous transfer of fluids over long distances. However, this infrastructure faces critical challenges such as pressure fluctuations, flow irregularities, and vibration problems, which can lead to operational disruptions and environmental hazards. To address these issues, this thesis proposes a smart pipeline monitoring system based on Arduino, LabVIEW, and IoT technologies. The system is built using an Arduino UNO microcontroller in conjunction with a NodeMCU ESP8266 module for wireless data transmission. A G1/4 0–1.2 MPa hydraulic pressure sensor and a YF-S201 flow sensor are integrated to measure key parameters in the pipeline. Local alerts are triggered using LEDs and a buzzer in the event of abnormal readings. Calibration data is stored in EEPROM to maintain measurement consistency, and a manual calibration trigger is implemented to enhance long-term accuracy. Monitoring is achieved through a dual-interface approach : real-time sensor data is transmitted to the ThingSpeak IoT platform for cloud-based visualization and remote access, while LabVIEW is used locally to create a dynamic graphical user interface (GUI). The LabVIEW interface provides live data plotting, digital gauges for pressure and flow, system status indicators, and manual control buttons. Additionally, the GUI offers real-time alarms and logging capabilities for localized supervision. This hybrid system demonstrates a cost-effective and scalable solution that integrates embedded systems, graphical programming, and IoT to enhance the reliability, transparency, and safety of pipeline infrastructure in the oil and gas industry.